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Applicability domain of the DILI and the PA dataset, showing the four first principal components (PC1 – PC4)
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2017-01-01
相关数据集
Table_1_Deep Learning on High-Throughput Transcriptomics to Predict Drug-Induced Liver Injury.XLSX
Drug-induced liver injury (DILI) is one of the most cited reasons for the high drug attrition rate and drug withdrawal from the market. The accumulated large amount of high throughput transcriptomic p
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Transcriptional comparisons of stem cell-derived hepatocytes (hiPS-Hep), HepaRG cells and 3D human hepatocyte spheroids as predictive in vitro systems for drug-induced liver injury
Three current hepatic in vitro cell systems were compared at the gene expression level in order to determine their suitability for investigations of hepatotoxicity. For mechanistic investigations we f
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Association and clinical utility of NAT2 in the prediction of isoniazid-induced liver injury in Singaporean patients
Background and aimsIsoniazid (INH) is part of the first-line-therapy for tuberculosis (TB) but can cause drug-induced liver injury (DILI). Several candidate single nucleotide polymorphisms (SNPs) have
Figshare2017-10-17 更新30
Prediction of recovery at inclusion, in adjudicated DILI cases (n = 115).
Prediction of recovery at inclusion, in adjudicated DILI cases (n = 115).
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A computational toxicogenomics approach identifies a list of highly hepatotoxic compounds from a large microarray database
The liver and the kidney are the most common targets of chemical toxicity, due to their major metabolic and excretory functions. However, since the liver is directly involved in biotransformation, com
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